I am a Lecturer in Statistical Learning in the Department of Mathematics and Statistics and Lancaster University since 2015.
I currently hold an EPSRC fellowship on Scalable and Exact Data Science for Security and Location-based Data and I am a Co-I on the EPSRC-funded Data Science for the Natural Environment.
I work on problems related to Gaussian processes, Bayesian inference and computational statistics, with a focus on Markov chain Monte Carlo and sequential Monte Carlo techniques. My current research is focused on Bayesian methods for Big Data and tools for online learning.
I chair the Royal Statistical Society group on Computational Statistics and Machine Learning RSS-CSML and currently vice-chair of the Statistical Computing section.
PhD in Statistics and Operational Research, 2014
Lancaster University
MRes in Statistics and Operational Research, 2011
Lancaster University
BSc in Mathematics, 2006
University of Manchester
A nonparametric Bayes package for the Julia language.
An R package based on Tensorflow for stochastic gradient Monte Carlo sampling.
I am currently not teaching, but have previously taught: